Top Remote Machine Learning Jobs in San Francisco, CA
Working at Atlassian
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is seek...
Senior Machine Learning Modeler working on financial crimes detection using Machine Learning and Generative AI technologies at Cash App.
Looking for a talented Staff ML Engineer to build ML platforms and data pipelines for large-scale data repositories. Responsibilities include designing and building ML architecture, managing the ML platform, developing data pipeline architecture, and writing scalable software. Qualifications include 8+ years of Java development experience, 4+ years in AI, ML, and Data Science, and knowledge of Python, Scala, TensorFlow, and more.
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Senior Machine Learning Engineer specializing in Conversational AI to automate and optimize Square product features. Lead projects across various product areas, collaborate with stakeholders, drive end-to-end ML projects, and contribute to the next generation of intelligent products at Square.
As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
The Threat Analyst, Machine Learning position at CrowdStrike involves analyzing malware and detections, improving detection capability, and responding to customer inquiries about threat detection. The role requires knowledge of malware, reverse engineering, programming languages like Python, and threat/risk management.
Join Dandy as a Senior Machine Learning & Computer Vision Engineer to build cutting-edge digital products and scale the managed marketplace. Develop CV models for 3D scans, collaborate with product teams, and apply ML techniques across the organization. Enjoy comprehensive benefits and a commitment to diversity and inclusion.
Deepgram is seeking a Research Scientist to work on building new speech and language AI foundation models across modalities and tasks. The role involves designing experimental programs, driving large-scale training jobs, optimizing model architectures, and staying updated with the latest advances in deep learning. A PhD in Physics, Electrical Engineering, Computer Science, or a related field is required for this internship role at Deepgram.
Top remote Companies in San Francisco, CA Hiring Data + Analytics Roles
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